Daniel Miessler is a cybersecurity and AI engineer turned founder, based in the San Francisco Bay Area. He shares insights on cybersecurity, artificial intelligence, technology, and human behavior through essays, tutorials, and technical content on his blog.
148 articles from this blog
Analyzes the AI investment bubble, arguing it can coexist with real AGI progress and massive job market disruption by 2030.
Explores how AI disrupts labor markets by collapsing the traditional model of tools, operators, and outcomes into a single, more efficient system.
A technical AI researcher questions if human 'world models' are as emergent and training-dependent as those in large language models (LLMs).
The article discusses the transition from an industrial-age 'Human 2.0' mindset to an AI-enabled 'Human 3.0' era of creators, critiquing traditional education and work paradigms.
Emad Mostaque argues AI will make capitalism obsolete by replacing human labor and transforming the economy within 1,000 days.
The article argues that AI and reduced startup costs are making venture capital less essential and more challenging for VCs to succeed.
Argues that AI is not a financial bubble, analyzing the definition of bubbles and contrasting AI's transformative potential with the dot-com era.
A comprehensive index of cybersecurity frameworks, threat modeling systems, assessment methodologies, and web application security principles from decades of infosec experience.
A comprehensive collection of AI research, frameworks, and guides covering technical architecture, economic impact, and societal transformation.
Analyzes the security risks of Model Context Protocols (MCPs), framing them as prompts that instruct AIs to execute third-party code.
A developer overcomes 'possibility blindness' by building a custom analytics platform to replace Google Analytics and Chartbeat in under 20 minutes.
Analyzing tech layoffs to identify resilient skills and proposing a curriculum of timeless fundamentals and modern tools for future-proof careers.
Argues that we unfairly criticize AI for being non-deterministic, inconsistent, or error-prone, while accepting the same flaws in human reasoning and output.
A tech professional expresses deep concern about an imminent AI-driven economic downturn and mass layoffs in the tech industry.
Critique of the 'how many r's in strawberry' test as a poor benchmark for AI intelligence, arguing it measures irrelevant trivia.
A rebuttal to Marcus Hutchins' critique of AI, arguing that his definition of intelligence as 'novel discovery' wrongly devalues most knowledge work.
A rebuttal to Dwarkesh Patel's skepticism about near-term AGI, arguing his limited AI usage experience leads to flawed conclusions.
Analysis of Substack's decline and how AI enables creators to build their own platforms, reducing reliance on centralized blogging services.
Introducing Daemon, a personal API concept where humans and objects have digital interfaces for AI assistants to interact with the world.
AI-driven layoffs will increase pressure on remaining employees, creating a stressful work environment with unreasonable demands and job insecurity.
